






from abc import ABC, abstractmethod
from typing import List, Optional




class 							_lowerCAmelCase(			UpperCAmelCase_   ):





       """simple docstring"""







       def __init__(   self				):
         # test for the above condition
         self.test()





       def      _a       (   self				):
         UpperCamelCase_:   List[str]        =							0
         UpperCamelCase_:   List[Any]        =							False
         while not completed:
           if counter == 1:
             self.reset()
           UpperCamelCase_:   Union[str, Any]        =							self.advance()
           if not self.does_advance(_lowerCamelCase				):
             raise Exception(
                 'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'				)

           UpperCamelCase_ ,UpperCamelCase_ ,UpperCamelCase_:   int        =							self.update(_lowerCamelCase				)
           counter += 1

           if counter > 1_0_0_0_0:
             raise Exception('update() does not fulfill the constraint.'				)

         if self.remaining() != 0:
           raise Exception('Custom Constraint is not defined correctly.'				)





       @abstractmethod
       def      _a       (   self				):
         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)





       @abstractmethod
       def      _a       (   self    ,     _lowerCamelCase				):
         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)





       @abstractmethod
       def      _a       (   self    ,     _lowerCamelCase				):
         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)





       @abstractmethod
       def      _a       (   self				):
         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)





       @abstractmethod
       def      _a       (   self				):
         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)





       @abstractmethod
       def      _a       (   self    ,     _lowerCamelCase=False				):
         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)







class 							_lowerCAmelCase(			UpperCAmelCase_   ):





       """simple docstring"""







       def __init__(   self    ,     _lowerCamelCase				):
         super(_lowerCamelCase    ,     self				).__init__()

         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				) or len(_lowerCamelCase				) == 0:
           raise ValueError(f'''`token_ids` has to be a non-empty list, but is {token_ids}.'''				)
         if any((not isinstance(_lowerCamelCase    ,     _lowerCamelCase				) or token_id < 0) for token_id in token_ids				):
           raise ValueError(f'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'''				)

         UpperCamelCase_:   Optional[Any]        =							token_ids

         UpperCamelCase_:   Optional[int]        =							len(self.token_ids				)
         UpperCamelCase_:   Union[str, Any]        =							-1  # the index of the currently fulfilled step
         UpperCamelCase_:   List[str]        =							False





       def      _a       (   self				):
         if self.completed:
           return None
         return self.token_ids[self.fulfilled_idx + 1]





       def      _a       (   self    ,     _lowerCamelCase				):
         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
           raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(_lowerCamelCase				)}'''				)

         if self.completed:
           return False

         return token_id == self.token_ids[self.fulfilled_idx + 1]





       def      _a       (   self    ,     _lowerCamelCase				):
         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
           raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(_lowerCamelCase				)}'''				)

         UpperCamelCase_:   Dict        =							False
         UpperCamelCase_:   Optional[Any]        =							False
         UpperCamelCase_:   int        =							False

         if self.does_advance(_lowerCamelCase				):
           self.fulfilled_idx += 1
           UpperCamelCase_:   Tuple        =							True
           if self.fulfilled_idx == (self.seqlen - 1):
             UpperCamelCase_:   Tuple        =							True
           UpperCamelCase_:   List[Any]        =							completed
         else:
           # failed to make progress.
           UpperCamelCase_:   Tuple        =							True
           self.reset()
         return stepped, completed, reset





       def      _a       (   self				):
         UpperCamelCase_:   str        =							False
         UpperCamelCase_:   List[Any]        =							0





       def      _a       (   self				):
         return self.seqlen - (self.fulfilled_idx + 1)





       def      _a       (   self    ,     _lowerCamelCase=False				):
         UpperCamelCase_:   Union[str, Any]        =							PhrasalConstraint(self.token_ids				)

         if stateful:
           UpperCamelCase_:   Any        =							self.seqlen
           UpperCamelCase_:   Any        =							self.fulfilled_idx
           UpperCamelCase_:   List[Any]        =							self.completed

         return new_constraint







class 							_lowerCAmelCase:





       """simple docstring"""







       def __init__(   self    ,     _lowerCamelCase    ,     _lowerCamelCase=True				):
         UpperCamelCase_:   Dict        =							max([len(_lowerCamelCase				) for one in nested_token_ids]				)

         UpperCamelCase_:   Dict        =							{}
         for token_ids in nested_token_ids:
           UpperCamelCase_:   str        =							root
           for tidx, token_id in enumerate(_lowerCamelCase				):
             if token_id not in level:
               UpperCamelCase_:   Optional[Any]        =							{}

             UpperCamelCase_:   Dict        =							level[token_id]

         if no_subsets and self.has_subsets(_lowerCamelCase    ,     _lowerCamelCase				):
           raise ValueError(
               'Each list in `nested_token_ids` can\'t be a complete subset of another list, but is'
               f''' {nested_token_ids}.'''				)

         UpperCamelCase_:   int        =							root





       def      _a       (   self    ,     _lowerCamelCase				):
         UpperCamelCase_:   Union[str, Any]        =							self.trie

         for current_token in current_seq:
           UpperCamelCase_:   Optional[Any]        =							start[current_token]

         UpperCamelCase_:   Dict        =							list(start.keys()				)

         return next_tokens





       def      _a       (   self    ,     _lowerCamelCase				):
         UpperCamelCase_:   Tuple        =							self.next_tokens(_lowerCamelCase				)

         return len(_lowerCamelCase				) == 0





       def      _a       (   self    ,     _lowerCamelCase				):
         UpperCamelCase_:   Union[str, Any]        =							list(root.values()				)
         if len(_lowerCamelCase				) == 0:
           return 1
         else:
           return sum([self.count_leaves(_lowerCamelCase				) for nn in next_nodes]				)





       def      _a       (   self    ,     _lowerCamelCase    ,     _lowerCamelCase				):
         UpperCamelCase_:   str        =							self.count_leaves(_lowerCamelCase				)
         return len(_lowerCamelCase				) != leaf_count







class 							_lowerCAmelCase(			UpperCAmelCase_   ):





       """simple docstring"""







       def __init__(   self    ,     _lowerCamelCase				):
         super(_lowerCamelCase    ,     self				).__init__()

         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				) or len(_lowerCamelCase				) == 0:
           raise ValueError(f'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''				)
         if any(not isinstance(_lowerCamelCase    ,     _lowerCamelCase				) for token_ids in nested_token_ids				):
           raise ValueError(f'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'''				)
         if any(
             any((not isinstance(_lowerCamelCase    ,     _lowerCamelCase				) or token_id < 0) for token_id in token_ids				)
             for token_ids in nested_token_ids				):
           raise ValueError(
               f'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'''				)

         UpperCamelCase_:   Any        =							DisjunctiveTrie(_lowerCamelCase				)
         UpperCamelCase_:   Dict        =							nested_token_ids

         UpperCamelCase_:   Union[str, Any]        =							self.trie.max_height
         UpperCamelCase_:   Any        =							[]
         UpperCamelCase_:   Optional[Any]        =							False





       def      _a       (   self				):
         UpperCamelCase_:   Optional[int]        =							self.trie.next_tokens(self.current_seq				)

         if len(_lowerCamelCase				) == 0:
           return None
         else:
           return token_list





       def      _a       (   self    ,     _lowerCamelCase				):
         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
           raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(_lowerCamelCase				)}'''				)

         UpperCamelCase_:   Union[str, Any]        =							self.trie.next_tokens(self.current_seq				)

         return token_id in next_tokens





       def      _a       (   self    ,     _lowerCamelCase				):
         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
           raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(_lowerCamelCase				)}'''				)

         UpperCamelCase_:   int        =							False
         UpperCamelCase_:   Dict        =							False
         UpperCamelCase_:   int        =							False

         if self.does_advance(_lowerCamelCase				):
           self.current_seq.append(_lowerCamelCase				)
           UpperCamelCase_:   List[str]        =							True
         else:
           UpperCamelCase_:   Tuple        =							True
           self.reset()

         UpperCamelCase_:   Any        =							self.trie.reached_leaf(self.current_seq				)
         UpperCamelCase_:   Union[str, Any]        =							completed

         return stepped, completed, reset





       def      _a       (   self				):
         UpperCamelCase_:   Dict        =							False
         UpperCamelCase_:   List[str]        =							[]





       def      _a       (   self				):
         if self.completed:
           # since this can be completed without reaching max height
           return 0
         else:
           return self.seqlen - len(self.current_seq				)





       def      _a       (   self    ,     _lowerCamelCase=False				):
         UpperCamelCase_:   Optional[int]        =							DisjunctiveConstraint(self.token_ids				)

         if stateful:
           UpperCamelCase_:   str        =							self.seqlen
           UpperCamelCase_:   Any        =							self.current_seq
           UpperCamelCase_:   Any        =							self.completed

         return new_constraint







class 							_lowerCAmelCase:





       """simple docstring"""







       def __init__(   self    ,     _lowerCamelCase				):
         UpperCamelCase_:   Tuple        =							constraints

         # max # of steps required to fulfill a given constraint
         UpperCamelCase_:   List[Any]        =							max([c.seqlen for c in constraints]				)
         UpperCamelCase_:   Optional[int]        =							len(_lowerCamelCase				)
         UpperCamelCase_:   Optional[Any]        =							False

         self.init_state()





       def      _a       (   self				):
         UpperCamelCase_:   str        =							[]
         UpperCamelCase_:   Union[str, Any]        =							None
         UpperCamelCase_:   Tuple        =							[constraint.copy(stateful=_lowerCamelCase				) for constraint in self.constraints]





       def      _a       (   self				):
         UpperCamelCase_:   Tuple        =							0
         if self.inprogress_constraint:
           # extra points for having a constraint mid-fulfilled
           add += self.max_seqlen - self.inprogress_constraint.remaining()

         return (len(self.complete_constraints				) * self.max_seqlen) + add





       def      _a       (   self				):
         UpperCamelCase_:   List[str]        =							[]
         if self.inprogress_constraint is None:
           for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
             UpperCamelCase_:   Tuple        =							constraint.advance()
             if isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
               token_list.append(_lowerCamelCase				)
             elif isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
               token_list.extend(_lowerCamelCase				)
         else:
           UpperCamelCase_:   Dict        =							self.inprogress_constraint.advance()
           if isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
             token_list.append(_lowerCamelCase				)
           elif isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
             token_list.extend(_lowerCamelCase				)

         if len(_lowerCamelCase				) == 0:
           return None
         else:
           return token_list





       def      _a       (   self    ,     _lowerCamelCase				):
         self.init_state()

         if token_ids is not None:
           for token in token_ids:
             # completes or steps **one** constraint
             UpperCamelCase_ ,UpperCamelCase_:   Any        =							self.add(_lowerCamelCase				)

             # the entire list of constraints are fulfilled
             if self.completed:
               break





       def      _a       (   self    ,     _lowerCamelCase				):
         if not isinstance(_lowerCamelCase    ,     _lowerCamelCase				):
           raise ValueError(f'''`token_id` should be an `int`, but is `{token_id}`.'''				)

         UpperCamelCase_ ,UpperCamelCase_:   int        =							False, False

         if self.completed:
           UpperCamelCase_:   List[Any]        =							True
           UpperCamelCase_:   List[Any]        =							False
           return complete, stepped

         if self.inprogress_constraint is not None:
           # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
           # job, simply update the state

           UpperCamelCase_ ,UpperCamelCase_ ,UpperCamelCase_:   Optional[Any]        =							self.inprogress_constraint.update(_lowerCamelCase				)
           if reset:
             # 1. If the next token breaks the progress, then we must restart.
             #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

             #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
             #     constraint, not the full list of constraints.

             self.pending_constraints.append(self.inprogress_constraint.copy(stateful=_lowerCamelCase				)				)
             UpperCamelCase_:   str        =							None

           if complete:
             # 2. If the next token completes the constraint, move it to completed list, set
             #     inprogress to None. If there are no pending constraints either, then this full list of constraints
             #     is complete.

             self.complete_constraints.append(self.inprogress_constraint				)
             UpperCamelCase_:   List[Any]        =							None

             if len(self.pending_constraints				) == 0:
               # we're done!
               UpperCamelCase_:   Any        =							True

         else:
           # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
           # of constraints?

           for cidx, pending_constraint in enumerate(self.pending_constraints				):
             if pending_constraint.does_advance(_lowerCamelCase				):
               UpperCamelCase_ ,UpperCamelCase_ ,UpperCamelCase_:   int        =							pending_constraint.update(_lowerCamelCase				)

               if not stepped:
                 raise Exception(
                     '`constraint.update(token_id)` is not yielding incremental progress, '
                     'even though `constraint.does_advance(token_id)` is true.'				)

               if complete:
                 self.complete_constraints.append(_lowerCamelCase				)
                 UpperCamelCase_:   Union[str, Any]        =							None

               if not complete and stepped:
                 UpperCamelCase_:   List[str]        =							pending_constraint

               if complete or stepped:
                 # If we made any progress at all, then it's at least not a "pending constraint".

                 UpperCamelCase_:   List[Any]        =							(
                     self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                 )

                 if len(self.pending_constraints				) == 0 and self.inprogress_constraint is None:
                   # If there's no longer any pending after this and no inprogress either, then we must be
                   # complete.

                   UpperCamelCase_:   str        =							True

                 break  # prevent accidentally stepping through multiple constraints with just one token.

         return complete, stepped





       def      _a       (   self    ,     _lowerCamelCase=True				):
         UpperCamelCase_:   List[Any]        =							ConstraintListState(self.constraints				)  # we actually never though self.constraints objects
         # throughout this process. So it's at initialization state.

         if stateful:
           UpperCamelCase_:   Optional[int]        =							[
               constraint.copy(stateful=_lowerCamelCase				) for constraint in self.complete_constraints
           ]
           if self.inprogress_constraint is not None:
             UpperCamelCase_:   Tuple        =							self.inprogress_constraint.copy(stateful=_lowerCamelCase				)
           UpperCamelCase_:   Optional[int]        =							[constraint.copy() for constraint in self.pending_constraints]

         return new_state




'''simple docstring'''






import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 				a__(   lowerCamelCase__						,					unittest.TestCase      ):
    lowercase__					=       CodeGenTokenizer
    lowercase__					=       CodeGenTokenizerFast
    lowercase__					=       True
    lowercase__					=       {"""add_prefix_space""": True}
    lowercase__					=       False







    def      lowercase_			( self					:    List[str]      ):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      a		:   Any	  =	[
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '<unk>',
          '<|endoftext|>',
      ]
      a		:   Dict	  =	dict(zip(__snake_case		,     range(len(__snake_case      )      )      )      )
      a		:   str	  =	['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      a		:   List[str]	  =	{'unk_token': '<unk>'}

      a		:   List[str]	  =	os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['vocab_file']      )
      a		:   Dict	  =	os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['merges_file']      )
      with open(self.vocab_file		,     'w'		,     encoding='utf-8'      ) as fp:
        fp.write(json.dumps(__snake_case      ) + '\n'      )
      with open(self.merges_file		,     'w'		,     encoding='utf-8'      ) as fp:
        fp.write('\n'.join(__snake_case      )      )







    def      lowercase_			( self					:    Tuple		,     **__snake_case					:    Dict      ):
      kwargs.update(self.special_tokens_map      )
      return CodeGenTokenizer.from_pretrained(self.tmpdirname		,     **__snake_case      )







    def      lowercase_			( self					:    List[Any]		,     **__snake_case					:    List[str]      ):
      kwargs.update(self.special_tokens_map      )
      return CodeGenTokenizerFast.from_pretrained(self.tmpdirname		,     **__snake_case      )







    def      lowercase_			( self					:    Optional[int]		,     __snake_case					:    List[Any]      ):
      a		:   Tuple	  =	'lower newer'
      a		:   str	  =	'lower newer'
      return input_text, output_text







    def      lowercase_			( self					:    str      ):
      a		:   List[Any]	  =	CodeGenTokenizer(self.vocab_file		,     self.merges_file		,     **self.special_tokens_map      )
      a		:   Dict	  =	'lower newer'
      a		:   int	  =	['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
      a		:   List[str]	  =	tokenizer.tokenize(__snake_case		,     add_prefix_space=__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      a		:   Dict	  =	tokens + [tokenizer.unk_token]
      a		:   int	  =	[14, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case      )		,     __snake_case      )







    def      lowercase_			( self					:    List[Any]      ):
      if not self.test_rust_tokenizer:
        return

      a		:   Optional[int]	  =	self.get_tokenizer()
      a		:   Tuple	  =	self.get_rust_tokenizer(add_prefix_space=__snake_case      )

      a		:   List[str]	  =	'lower newer'

      # Testing tokenization
      a		:   Optional[int]	  =	tokenizer.tokenize(__snake_case		,     add_prefix_space=__snake_case      )
      a		:   Optional[Any]	  =	rust_tokenizer.tokenize(__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      # Testing conversion to ids without special tokens
      a		:   Tuple	  =	tokenizer.encode(__snake_case		,     add_special_tokens=__snake_case		,     add_prefix_space=__snake_case      )
      a		:   str	  =	rust_tokenizer.encode(__snake_case		,     add_special_tokens=__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      # Testing conversion to ids with special tokens
      a		:   Optional[int]	  =	self.get_rust_tokenizer(add_prefix_space=__snake_case      )
      a		:   Optional[int]	  =	tokenizer.encode(__snake_case		,     add_prefix_space=__snake_case      )
      a		:   Dict	  =	rust_tokenizer.encode(__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      # Testing the unknown token
      a		:   Any	  =	tokens + [rust_tokenizer.unk_token]
      a		:   List[Any]	  =	[14, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__snake_case      )		,     __snake_case      )







    def      lowercase_			( self					:    List[str]		,     *__snake_case					:    int		,     **__snake_case					:    str      ):
      # It's very difficult to mix/test pretokenization with byte-level
      # And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
      pass







    def      lowercase_			( self					:    List[str]		,     __snake_case					:    str=15      ):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""      ):
          a		:   List[Any]	  =	self.rust_tokenizer_class.from_pretrained(__snake_case		,     **__snake_case      )

          # Simple input
          a		:   Dict	  =	'This is a simple input'
          a		:   int	  =	['This is a simple input 1', 'This is a simple input 2']
          a		:   Dict	  =	('This is a simple input', 'This is a pair')
          a		:   Dict	  =	[
              ('This is a simple input 1', 'This is a simple input 2'),
              ('This is a simple pair 1', 'This is a simple pair 2'),
          ]

          # Simple input tests
          self.assertRaises(__snake_case		,     tokenizer_r.encode		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Simple input
          self.assertRaises(__snake_case		,     tokenizer_r.encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Simple input
          self.assertRaises(
              __snake_case		,     tokenizer_r.batch_encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'		,     )

          # Pair input
          self.assertRaises(__snake_case		,     tokenizer_r.encode		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Pair input
          self.assertRaises(__snake_case		,     tokenizer_r.encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Pair input
          self.assertRaises(
              __snake_case		,     tokenizer_r.batch_encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'		,     )







    def      lowercase_			( self					:    Optional[Any]      ):
      a		:   Any	  =	CodeGenTokenizer.from_pretrained(self.tmpdirname		,     pad_token='<pad>'      )

      # Simple input
      a		:   Union[str, Any]	  =	'This is a simple input'
      a		:   Dict	  =	['This is a simple input looooooooong', 'This is a simple input']
      a		:   int	  =	('This is a simple input', 'This is a pair')
      a		:   List[Any]	  =	[
          ('This is a simple input loooooong', 'This is a simple input'),
          ('This is a simple pair loooooong', 'This is a simple pair'),
      ]

      a		:   Optional[int]	  =	tokenizer.pad_token_id

      a		:   List[Any]	  =	tokenizer(__snake_case		,     padding='max_length'		,     max_length=30		,     return_tensors='np'      )
      a		:   Union[str, Any]	  =	tokenizer(__snake_case		,     padding=__snake_case		,     truncate=__snake_case		,     return_tensors='np'      )
      a		:   Optional[Any]	  =	tokenizer(*__snake_case		,     padding='max_length'		,     max_length=60		,     return_tensors='np'      )
      a		:   List[Any]	  =	tokenizer(__snake_case		,     padding=__snake_case		,     truncate=__snake_case		,     return_tensors='np'      )

      # s
      # test single string max_length padding
      self.assertEqual(out_s['input_ids'].shape[-1]		,     30      )
      self.assertTrue(pad_token_id in out_s['input_ids']      )
      self.assertTrue(0 in out_s['attention_mask']      )

      # s2
      # test automatic padding
      self.assertEqual(out_sa['input_ids'].shape[-1]		,     33      )
      # long slice doesn't have padding
      self.assertFalse(pad_token_id in out_sa['input_ids'][0]      )
      self.assertFalse(0 in out_sa['attention_mask'][0]      )
      # short slice does have padding
      self.assertTrue(pad_token_id in out_sa['input_ids'][1]      )
      self.assertTrue(0 in out_sa['attention_mask'][1]      )

      # p
      # test single pair max_length padding
      self.assertEqual(out_p['input_ids'].shape[-1]		,     60      )
      self.assertTrue(pad_token_id in out_p['input_ids']      )
      self.assertTrue(0 in out_p['attention_mask']      )

      # p2
      # test automatic padding pair
      self.assertEqual(out_pa['input_ids'].shape[-1]		,     52      )
      # long slice pair doesn't have padding
      self.assertFalse(pad_token_id in out_pa['input_ids'][0]      )
      self.assertFalse(0 in out_pa['attention_mask'][0]      )
      # short slice pair does have padding
      self.assertTrue(pad_token_id in out_pa['input_ids'][1]      )
      self.assertTrue(0 in out_pa['attention_mask'][1]      )







    def      lowercase_			( self					:    Optional[int]      ):
      a		:   int	  =	'$$$'
      a		:   Dict	  =	CodeGenTokenizer.from_pretrained(self.tmpdirname		,     bos_token=__snake_case		,     add_bos_token=__snake_case      )

      a		:   int	  =	'This is a simple input'
      a		:   Tuple	  =	['This is a simple input 1', 'This is a simple input 2']

      a		:   Any	  =	tokenizer.bos_token_id

      a		:   Union[str, Any]	  =	tokenizer(__snake_case      )
      a		:   Dict	  =	tokenizer(__snake_case      )

      self.assertEqual(out_s.input_ids[0]		,     __snake_case      )
      self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids      )      )

      a		:   Optional[Any]	  =	tokenizer.decode(out_s.input_ids      )
      a		:   Optional[Any]	  =	tokenizer.batch_decode(out_sa.input_ids      )

      self.assertEqual(decode_s.split()[0]		,     __snake_case      )
      self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa      )      )







    @slow
    def      lowercase_			( self					:    List[Any]      ):
      a		:   Tuple	  =	CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'      )

      a		:   Union[str, Any]	  =	'\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
      a		:   Optional[Any]	  =	'\nif len_a > len_b:      result = a\nelse:      result = b'

      a		:   Any	  =	tokenizer.encode(__snake_case      )
      a		:   Union[str, Any]	  =	['^#', re.escape('<|endoftext|>'      ), '^\'\'\'', '^"""', '\n\n\n']
      a		:   List[str]	  =	tokenizer.decode(__snake_case		,     truncate_before_pattern=__snake_case      )
      self.assertEqual(__snake_case		,     __snake_case      )







    def      lowercase_			( self					:    Any      ):
      pass